Technology of Turbine Plant Operating With Wet Steam 1989
DOI: 10.1680/totpowws.13957.0028
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25. An examination of the effect of ‘wake chopping’ on droplet sizes in steam turbines

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Cited by 8 publications
(3 citation statements)
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“…The method accounts for the effect of wake chopping on droplet sizes. 22,23 It is based on the random character of dissipation experienced by fluid particles passing through the multistage turbine, depending on a randomly chosen streamline (2D approach) within each blade row with a given pitchwise distribution of polytropic efficiency. Different fluid particles thus undergo different nucleation conditions resulting in a broader droplet size distribution.…”
Section: Wet Steam Energy Lossmentioning
confidence: 99%
“…The method accounts for the effect of wake chopping on droplet sizes. 22,23 It is based on the random character of dissipation experienced by fluid particles passing through the multistage turbine, depending on a randomly chosen streamline (2D approach) within each blade row with a given pitchwise distribution of polytropic efficiency. Different fluid particles thus undergo different nucleation conditions resulting in a broader droplet size distribution.…”
Section: Wet Steam Energy Lossmentioning
confidence: 99%
“…This source initiates highfrequency pressure and temperature fluctuations that interfere with the nucleation process in the entire cross-section from blade to blade and trigger the time-dependent droplet size distribution behind the cascade. The related unsteady phenomenon is known as wake chopping (see, for instance, the investigation of Bakhtar and Heaton [53]). Figure 45 shows numerical results of the turbulent flow simulation through a VKI 1 rotor, the steam is assumed to condense homogeneously, heterogeneous effects are excluded.…”
Section: Wake Interactionsmentioning
confidence: 99%
“…The foundations of wake chopping models were presented by Gyarmathy & Spengler (1974), and provide a methodology for the analysis of the steam temperature fluctuations observed by Wood (1973). Their ideas were subsequently implemented as a proof of concept by Bakhtar & Heaton (1989) and further developed with a more theoretical basis by Guha & Young (1994). The stochastic modelling approach to wake chopping is based on an efficiency distribution across the pitch and the random pitchwise inlet location of fluid parcels at the leading edge of blade rows, thus effectively defining a set of random thermodynamic histories through the machine.…”
Section: Introductionmentioning
confidence: 99%